Demographics details for South gate, CA vs Cambridge, MD
Population Overview
Compare main population characteristics in South gate, CA vs Cambridge, MD.
Data | South gate | Cambridge |
---|---|---|
Population | 90,926 | 13,129 |
Median Age | 33.7 years | 37.3 years |
Median Income | $67,188 | $44,114 |
Married Families | 34.0% | 27.0% |
Poverty Level | 18% | 11% |
Unemployment Rate | 6.1 | 5.2 |
Population Comparison: South gate vs Cambridge
- In South gate, the population is higher at 90,926, compared to 13,129 in Cambridge.
- The median age in Cambridge is higher at 37.3 years, compared to 33.7 years in South gate.
- South gate has a higher median income of $67,188 compared to $44,114 in Cambridge.
- A higher percentage of married families is found in South gate at 34.0% compared to 27.0% in Cambridge.
- South gate has a higher poverty level at 18% compared to 11% in Cambridge.
- The unemployment rate in South gate is higher at 6.1%, compared to 5.2% in Cambridge.
Demographics
Demographics South gate vs Cambridge provide insight into the diversity of the communities to compare.
Demographic | South gate | Cambridge |
---|---|---|
Black | 1 | 44 |
White | -21 | 35 |
Asian | 1 | 2 |
Hispanic | 97 | 8 |
Two or More Races | 21 | 11 |
American Indian | 1 | Data is updating |
Demographics Comparison: South gate vs Cambridge
- In Cambridge, the percentage of Black residents is higher at 44% compared to 1% in South gate.
- The percentage of White residents is higher in Cambridge at 35% compared to -21% in South gate.
- In Cambridge, the Asian population stands at 2%, greater than 1% in South gate.
- The Hispanic community is larger in South gate at 97% compared to 8% in Cambridge.
- More residents identify as two or more races in South gate at 21% compared to 11% in Cambridge.
- A greater percentage of American Indian residents live in South gate at 1% compared to 0% in Cambridge.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | South gate | Cambridge |
---|---|---|
Mental Health Not Good | 16.8% | 18.2% |
Physical Health Not Good | 14.9% | 13.2% |
Depression | 16.3% | 20.3% |
Smoking | 12.7% | 20.9% |
Binge Drinking | 14.5% | 12.6% |
Obesity | 34.1% | 42.2% |
Disability Percentage | 9.0% | 18.0% |
Health Statistics Comparison: South gate vs Cambridge
- In Cambridge, a higher percentage report poor mental health at 18.2% compared to 16.8% in South gate.
- Higher depression rates are seen in Cambridge at 20.3% versus 16.3% in South gate.
- Cambridge has a higher smoking rate at 20.9% compared to 12.7% in South gate.
- Binge drinking is more common in South gate at 14.5% compared to 12.6% in Cambridge.
- Cambridge has higher obesity rates at 42.2% compared to 34.1% in South gate.
- There is a higher percentage of disabled individuals in Cambridge at 18.0% compared to 9.0% in South gate.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | South gate | Cambridge |
---|---|---|
No Schooling | 4.6% (4,160) | 0.9% (120) |
High School Diploma | 14.9% (13,536) | 22.1% (2,903) |
Less than High School | 53.3% (48,481) | 11.2% (1,477) |
Bachelor's Degree and Higher | 7.5% (6,822) | 13.6% (1,783) |
Education Levels Comparison: South gate vs Cambridge
- A higher percentage of residents in South gate have no formal schooling at 4.6% compared to 0.9% in Cambridge.
- In Cambridge, the rate of residents with high school diplomas is higher at 22.1% compared to 14.9% in South gate.
- More residents in South gate have less than a high school education at 53.3% compared to 11.2% in Cambridge.
- In Cambridge, a larger share of residents have a bachelor's degree or higher at 13.6% compared to 7.5% in South gate.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.